Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making.

The fields of toxicology and chemical risk assessment seek to reduce, and eventually replace, the use of animals for the prediction of toxicity in humans. In this context, physiologically based kinetic (PBK) modelling based on in vitro and in silico kinetic data has the potential to a play significant role in reducing animal testing, by providing a methodology capable of incorporating in vitro human data to facilitate the development of in vitro to in vivo extrapolation of hazard information. In the present article, we discuss the challenges in: 1) applying PBK modelling to support regulatory decision making under the toxicology and risk-assessment paradigm shift towards animal replacement; 2) constructing PBK models without in vivo animal kinetic data, while relying solely on in vitro or in silico methods for model parameterization; and 3) assessing the validity and credibility of PBK models built largely using non-animal data. The strengths, uncertainties, and limitations of PBK models developed using in vitro or in silico data are discussed in an effort to establish a higher degree of confidence in the application of such models in a regulatory context. The article summarises the outcome of an expert workshop hosted by the European Commission Joint Research Centre (EC-JRC) - European Union Reference Laboratory for Alternatives to Animal Testing (EURL ECVAM), on "Physiologically-Based Kinetic modelling in risk assessment - reaching a whole new level in regulatory decision-making" held in Ispra, Italy, in November 2016, along with results from an international survey conducted in 2017 and recently reported activities occurring within the PBK modelling field. The discussions presented herein highlight the potential applications of next generation (NG)-PBK modelling, based on new data streams.

Grouping of nanomaterials to read-across hazard endpoints: from data collection to assessment of the grouping hypothesis by application of chemoinformatic techniques.

BACKGROUND: An increasing number of manufactured nanomaterials (NMs) are being used in industrial products and need to be registered under the REACH legislation. The hazard characterisation of all these forms is not only technically challenging but resource and time demanding. The use of non-testing strategies like read-across is deemed essential to assure the assessment of all NMs in due time and at lower cost. The fact that read-across is based on the structural similarity of substances represents an additional difficulty for NMs as in general their structure is not unequivocally defined. In such a scenario, the identification of physicochemical properties affecting the hazard potential of NMs is crucial to define a grouping hypothesis and predict the toxicological hazards of similar NMs. In order to promote the read-across of NMs, ECHA has recently published "Recommendations for nanomaterials applicable to the guidance on QSARs and Grouping", but no practical examples were provided in the document. Due to the lack of publicly available data and the inherent difficulties of reading-across NMs, only a few examples of read-across of NMs can be found in the literature. This manuscript presents the first case study of the practical process of grouping and read-across of NMs following the workflow proposed by ECHA. METHODS: The workflow proposed by ECHA was used and slightly modified to present the read-across case study. The Read-Across Assessment Framework (RAAF) was used to evaluate the uncertainties of a read-across within NMs. Chemoinformatic techniques were used to support the grouping hypothesis and identify key physicochemical properties. RESULTS: A dataset of 6 nanoforms of TiO2 with more than 100 physicochemical properties each was collected. In vitro comet assay result was selected as the endpoint to read-across due to data availability. A correlation between the presence of coating or large amounts of impurities and negative comet assay results was observed. CONCLUSION: The workflow proposed by ECHA to read-across NMs was applied successfully. Chemoinformatic techniques were shown to provide key evidence for the assessment of the grouping hypothesis and the definition of similar NMs. The RAAF was found to be applicable to NMs.

Theoretical and mathematical foundation of the Virtual Cell Based Assay - A review.

There is a need to interpret in vitro concentration-viability data in terms of the actual concentration that the cells are exposed to, rather than the nominal concentration applied to the test system. We have developed a process-based model to simulate the kinetics and dynamics of a chemical compound in cell-based in vitro assays. In the present paper we describe the mathematical equations governing this model as well as the parameters that are needed to run the model. The Virtual Cell Based Assay (VCBA) is an integrated model composed of: [1] a fate and transport model; [2] a cell partitioning model; [3] a cell growth and division model; [4] a toxicity and effects model; [5] the experimental set up. The purpose of the VCBA is to simulate the medium and intracellular concentrations, which can be used on its own to design and interpret in vitro experiments, and in combination with physiologically based kinetic (PBK) models to perform in vitro to in vivo extrapolation. The results can be used in chemical risk assessment to link an external dose to an internal effect or vice versa, using solely in vitro and in silico tools and thereby avoiding animal testing.

MGMT promoter hypermethylation correlates with a survival benefit from temozolomide in patients with recurrent anaplastic astrocytoma but not glioblastoma.

AIMS: To investigate the correlation between O(6)-methylguanine-DNA-methyltransferase (MGMT) promoter methylation and benefit from temozolomide in patients with recurrent high-grade glioma. PATIENTS AND METHODS: A real-time, quantitative, methylation-specific PCR assay was performed on archival tissue blocks from patients treated with temozolomide at the first recurrence. RESULTS: A subgroup of 38 patients who were chemotherapy-naive at recurrence was analysed (22 glioblastoma, 12 anaplastic astrocytoma [AA] and 4 anaplastic oligoastrocytoma [AOA]); none had 1p/19q loss. Among 10 (26%) patients with a hypermethylated MGMT promoter, none experienced disease progression within the first two treatment cycles compared with 12 of 28 (43%) patients with an unmethylated promoter (p=0.016). By Cox multivariate analysis, tumour grade and MGMT promoter methylation correlated with time to progression (p<0.05); MGMT promoter methylation correlated with superior overall survival in AA/AOA but not in glioblastoma. CONCLUSIONS: MGMT promoter methylation predicted a survival benefit in patients with 1p/19q intact AA/AOA treated with temozolomide at recurrence.

A randomised controlled trial with a diphtheria-tetanus-acellular pertussis (dTpa) vaccine in adults.

The aim of this assessor-blinded trial was to compare the immunogenicity and reactogenicity of a candidate diphtheria, tetanus toxoids and acellular pertussis vaccine with reduced antigen content for diphtheria and pertussis (dTpa) with a licensed reduced adult-type diphtheria-tetanus vaccine Td (reduced diphtheria content) and with an experimental candidate monovalent acellular pertussis vaccine with reduced antigen content (pa). The dTpa and pa vaccines had identical pertussis antigen content. A total of 299 healthy adults (> or =18 years, mean age: 30.1 years+/-10.7) were randomised into 3 groups to receive a single dose of one of the study vaccines. In all groups, clinically significant reactions (severe) were infrequent (0-6%) and no serious adverse events were reported during the study. The incidence of local and systemic reactions following the administration of dTpa was comparable to the Td vaccine group. Of the total study group, prior to vaccination 52. 3 and 93.2% of the subjects had anti-diphtheria and anti-tetanus antibody levels > or = 0.1 IU/ml, respectively; and 73.1, 98.2 and 74.5% of the subjects were seropositive for pertussis toxin (PT), filamentous hemagglutinin (FHA) and pertactin (PRN) antibodies, respectively. One month after vaccination, a similar percentage of subjects in the dTpa and Td groups had anti-diphtheria (88.4% vs 90. 1%) and anti-tetanus (100% vs 98.9%) antibody levels > or =0.1 IU/ml. Similar anti-FHA (100%) and anti-PRN (98.9%) vaccine response rates were seen in the dTpa and pa groups, while the anti-PT vaccine response rates were 96.8 and 100.0%, respectively. The dTpa vaccine is as well tolerated and immunogenic as the licensed Td vaccine, and additionally, can also boost antibodies against pertussis.

Phase I and pharmacokinetic study of a novel mitomycin C analog KW-2149.

KW-2149 is a new, semisynthetic, C-7-N-substituted, mitomycin C (MMC) analog showing equal or superior antitumor activity in both in vitro and in vivo assays. The preclinical activity profile combined with the hematological toxicity data in rodents and the water solubility of the compound compare favorably with MMC. The aim of this phase I study was to determine the toxicity profile and the optimal dosage of KW-2149. In this phase I study 37 patients received 97 courses of KW-2149 administered as an i.v. bolus injection every 21 days at sequential dose levels: 5, 10, 17, 25, 35, 47, 60, 75, 90 and 100 mg/m2. Hematological toxicity was moderate even at the 100 mg/m2 dose level. Grade IV leucopenia and thrombocytopenia were observed in one of three patients at the 100 mg/m2 dose level. There was some evidence of a delayed-type bone marrow toxicity. Pulmonary toxicity was dose limiting, with grade III toxicity occurring in all three patients treated at a dose of 100 mg/m2. The type of lung toxicity was similar to the one observed with other antitumor antibiotics. No renal or cardiac toxicity was observed. Other toxicities were generally mild. Antitumor activity was observed in four patients. Data of drug monitoring demonstrated rapid metabolism and/or distribution of KW-2149 with a short half-life and the emergence of the cytotoxic metabolites M-16 and M-18. The dose-limiting toxicity of KW-2149 is pulmonary toxicity.